‪Ross M Weber‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	15	15
h-index	2	2
i10-index	0	0

0

8

4

20212022202320244 2 8 1

Public access

0 articles

1 article

available

not available

Based on funding mandates

Ross M Weber

Ross M Weber

PhD Candidate, Stanford University

Verified email at stanford.edu - Homepage

Lithium-ion Batteries Convolutional Neural Networks Porous Media Multiscale Modeling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Process noise quantification in kalman filters with application to electrochemical lithium-ion battery state estimation RM Weber, R Spragg, K Hoffmann, S Onori 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019	7	2019
Homogenization-informed convolutional neural networks for estimation of li-ion battery effective properties RM Weber, S Korneev, I Battiato Transport in Porous Media 145 (2), 527-548, 2022	6	2022
Labeled Image Dataset of Generated Porous Electrode Microstructures and Calculated Transport Parameters for Neural Network Training R Weber, S Korneev, I Battiato doi: 10.17632/mgmxv5tjt2.1, 2022	2	2022
Homogenization-informed Convolutional Neural Networks for Estimation of Effective Transport Properties in Fractured Media I Battiato, R Weber AGU23, 2023		2023
Homogenization-Informed Convolutional Neural Networks for Estimation of Effective Transport Properties in Porous and Fractured Media RM Weber Stanford University, 2023		2023
Estimating Effective Electrochemical Parameters for Li-ion Battery Models with Convolutional Neural Networks and Minkowski Tensors RM Weber Department of Energy Resources Engineering, Stanford University, 2019		2019

The system can't perform the operation now. Try again later.

Articles 1–6